Efficient sparse coding in early sensory processing: lessons from signal recovery
Efficient sparse coding in early sensory processing: lessons from signal recovery
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Contents
Sensory representations are not only sparse, but often overcomplete: coding units significantly outnumber the input units. For models of neural coding this overcompleteness poses a computational challenge for shaping the signal processing channels as well as for using the large and sparse representations in an efficient way. We argue that higher le...
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Efficient sparse coding in early sensory processing: lessons from signal recovery
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TN_cdi_plos_journals_1313185504
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1313185504
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1002372